查看購物車
  • Simplified Chinese
  • English
封面
市場調查報告書
商品編碼
1638039

全球預測撥號軟體市場規模研究（按組件、部署、企業規模、最終用途和 2022-2032 年區域預測）

Global Predictive Dialer Software Market Size Study, By Component, By Deployment, By Enterprise Size, By End Use, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

預測撥號軟體市場到2023 年價值約22.5 億美元，預計2024 年至2032 年複合年成長率將達到42.3%。一部分。透過智慧預測座席可用性和客戶回應，它可以最大限度地減少空閒時間，最佳化座席效率和客戶互動。該系統確保座席只專注於接聽電話，從而提高工作效率，同時透過減少等待時間來提高客戶滿意度。

基於雲端的解決方案的快速採用極大地影響了市場動態，特別是在中小企業 (SME) 中。雲端部署消除了對大量硬體的需求，使預測撥號器更具成本效益，並且可供不同規模的企業使用。此外，人工智慧分析和機器學習等技術進步正在徹底改變撥號演算法，確保更高的連線率並減少放棄的通話。這些創新為企業提供了寶貴的見解，從而實現有針對性的溝通策略，從而增強客戶參與度。

此外，對經濟高效的電話行銷解決方案的需求不斷成長以及改善資源分配的能力推動了預測撥號器在各行業（包括 IT 和電信、BFSI 和醫療保健）的採用。預測撥號器可自動執行出站呼叫，確保更快的連線和更高的生產力，使其成為旨在簡化營運和擴大客戶參與力度的企業的重要工具。

從地區來看，受益於聯絡中心和領先技術供應商的強大影響力，北美將在 2023 年佔據市場主導地位。然而，在數位轉型措施不斷增加、中小企業激增以及為滿足多樣化業務需求而對自動呼叫解決方案的需求不斷成長的推動下，亞太地區預計將出現最高的成長率。

市場的詳細細分和細分市場解釋如下：

目錄

第 1 章：全球預測撥號軟體市場執行摘要

  • 全球預測撥號軟體市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按組件
    • 按部署
    • 按企業規模
    • 按最終用途
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球預測撥號軟體市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包容與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球預測撥號軟體市場動態

  • 市場促進因素
    • 對即時客戶參與解決方案的需求不斷成長
    • 自動化節省成本的優勢
    • 預測撥號器中擴大採用人工智慧和機器學習
  • 市場挑戰
    • 本地解決方案的初始成本較高
    • 電話行銷的監管合規問題
  • 市場機會
    • 擴展面向中小企業的基於雲端的解決方案
    • 新興經濟體的需求不斷成長

第 4 章：全球預測撥號軟體市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
  • PESTEL分析
    • 政治的
    • 經濟的
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球預測撥號軟體市場規模與預測：按組件分類 - 2022-2032

  • 細分儀表板
  • 收入趨勢分析
    • 軟體
    • 服務
      • 整合與部署
      • 支援與維護
      • 培訓與諮詢
      • 託管服務

第 6 章：全球預測撥號軟體市場規模與預測：按部署分類 - 2022-2032 年

  • 細分儀表板
  • 收入趨勢分析
    • 本地部署
    • 雲

第 7 章：全球預測撥號軟體市場規模與預測：依企業規模 - 2022-2032

  • 細分儀表板
  • 收入趨勢分析
    • 大型企業
    • 中小企業

第 8 章：全球預測撥號軟體市場規模與預測：依最終用途分類 - 2022-2032

  • 細分儀表板
  • 收入趨勢分析
    • BFSI
    • 政府
    • 衛生保健
    • 資訊科技與電信
    • 其他

第 9 章：全球預測撥號軟體市場規模與預測：按地區 - 2022-2032

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 巴西
  • MEA
    • 沙烏地阿拉伯王國
    • 阿拉伯聯合大公國
    • 南非

第 10 章：競爭情報

  • 重點企業SWOT分析
    • agilecrm.com
    • Convoso
    • Five9, Inc.
  • 頂級市場策略
  • 公司簡介

第 11 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

The Predictive Dialer Software Market is valued at approximately USD 2.25 billion in 2023 and is projected to expand at a remarkable CAGR of 42.3% from 2024 to 2032. Predictive dialer software, an advanced automated calling system, has become indispensable for modern contact centers. By intelligently predicting agent availability and customer response, it minimizes idle time, optimizing agent efficiency and customer interactions. This system ensures that agents focus only on answered calls, enhancing productivity while improving customer satisfaction through reduced wait times.

The rapid adoption of cloud-based solutions significantly influences market dynamics, particularly among small and medium enterprises (SMEs). Cloud deployment eliminates the need for extensive hardware, making predictive dialers more cost-effective and accessible to businesses of varying sizes. Additionally, technological advancements like AI-powered analytics and machine learning are revolutionizing dialing algorithms, ensuring higher connectivity rates and reduced abandoned calls. These innovations provide businesses with valuable insights, enabling targeted communication strategies that enhance customer engagement.

Furthermore, the increasing demand for cost-effective telemarketing solutions and the ability to improve resource allocation drive the adoption of predictive dialers across industries, including IT & telecom, BFSI, and healthcare. Predictive dialers automate outbound calls, ensuring faster connections and higher productivity, making them essential tools for businesses aiming to streamline operations and scale customer engagement efforts.

Regionally, North America dominated the market in 2023, benefiting from a strong presence of contact centers and leading technology providers. However, the Asia Pacific region is expected to witness the highest growth rate, driven by increasing digital transformation initiatives, the proliferation of SMEs, and the rising demand for automated calling solutions to cater to diverse business needs.

Major market players included in this report are:

  • agilecrm.com
  • DialedIn
  • Convoso
  • Five9, Inc.
  • NICE
  • PhoneBurner
  • RingCentral, Inc.
  • Star2Billing S.L.
  • VanillaSoft
  • Ytel Inc.

The detailed segments and sub-segments of the market are explained below:

By Component:

  • Software
  • Services
    • Integration & Deployment
    • Support & Maintenance
    • Training & Consulting
    • Managed Services

By Deployment:

  • On-premise
  • Cloud

By Enterprise Size:

  • Large Enterprise
  • Small & Medium Enterprise

By End Use:

  • BFSI
  • Government
  • Healthcare
  • IT & Telecom
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Mexico
  • Europe
  • U.K.
  • Germany
  • France
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Latin America
  • Brazil
  • Middle East & Africa (MEA)
  • Kingdom of Saudi Arabia
  • UAE
  • South Africa

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with country-level insights of major regions.
  • Competitive landscape highlighting major market players.
  • Strategic recommendations and insights into emerging market opportunities.

Table of Contents

Chapter 1. Global Predictive Dialer Software Market Executive Summary

  • 1.1. Global Predictive Dialer Software Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Deployment
    • 1.3.3. By Enterprise Size
    • 1.3.4. By End Use
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Predictive Dialer Software Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Predictive Dialer Software Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Growing demand for real-time customer engagement solutions
    • 3.1.2. Cost-saving advantages of automation
    • 3.1.3. Rising adoption of AI and machine learning in predictive dialers
  • 3.2. Market Challenges
    • 3.2.1. High initial costs for on-premise solutions
    • 3.2.2. Regulatory compliance issues in telemarketing
  • 3.3. Market Opportunities
    • 3.3.1. Expansion of cloud-based solutions for SMEs
    • 3.3.2. Rising demand in emerging economies

Chapter 4. Global Predictive Dialer Software Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economic
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunities
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Predictive Dialer Software Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Revenue Trend Analysis (USD Million)
    • 5.2.1. Software
    • 5.2.2. Services
      • 5.2.2.1. Integration & Deployment
      • 5.2.2.2. Support & Maintenance
      • 5.2.2.3. Training & Consulting
      • 5.2.2.4. Managed Services

Chapter 6. Global Predictive Dialer Software Market Size & Forecasts by Deployment 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Revenue Trend Analysis (USD Million)
    • 6.2.1. On-premise
    • 6.2.2. Cloud

Chapter 7. Global Predictive Dialer Software Market Size & Forecasts by Enterprise Size 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Revenue Trend Analysis (USD Million)
    • 7.2.1. Large Enterprise
    • 7.2.2. Small & Medium Enterprise

Chapter 8. Global Predictive Dialer Software Market Size & Forecasts by End Use 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Revenue Trend Analysis (USD Million)
    • 8.2.1. BFSI
    • 8.2.2. Government
    • 8.2.3. Healthcare
    • 8.2.4. IT & Telecom
    • 8.2.5. Others

Chapter 9. Global Predictive Dialer Software Market Size & Forecasts by Region 2022-2032

  • 9.1. North America
    • 9.1.1. U.S.
    • 9.1.2. Canada
    • 9.1.3. Mexico
  • 9.2. Europe
    • 9.2.1. U.K.
    • 9.2.2. Germany
    • 9.2.3. France
  • 9.3. Asia Pacific
    • 9.3.1. China
    • 9.3.2. India
    • 9.3.3. Japan
    • 9.3.4. South Korea
    • 9.3.5. Australia
  • 9.4. Latin America
    • 9.4.1. Brazil
  • 9.5. MEA
    • 9.5.1. Kingdom of Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. South Africa

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
    • 10.1.1. agilecrm.com
    • 10.1.2. Convoso
    • 10.1.3. Five9, Inc.
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes